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CURRICULUM VITAEVerifiable Evidence Document

Rinku Diwakar

Builder working across software engineering, applied AI, and hardware-software systems. Founder of Pradrix.

Education

Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar

Bachelor of Technology (B.Tech) in Electrical Engineering

2023 – 2027 · CGPA: 7.44
Core Engineering & Systems Focus:
Mathematics & Analytical Systems ThinkingPhysical Systems, Circuits & Structured Problem SolvingCore Engineering FundamentalsSoftware Engineering, MLOps & Applied AI Systems
Technical Competencies (content.md)
Programming & Backend

Python, C++, SQL, JavaScript, TypeScript, FastAPI, Flask, REST APIs, Celery, Redis, React.js

AI, ML & Generative AI

PyTorch, TensorFlow, Scikit-learn, XGBoost, Pandas, NumPy, RAG, Agentic AI, LangChain, Hugging Face, Vector DBs

Cloud, DevOps & MLOps

AWS (EC2, S3), Docker, Kubernetes, Amazon EKS, GitHub Actions CI/CD, MLflow, DVC

Databases & Embedded

PostgreSQL, MySQL, MongoDB, Supabase, Raspberry Pi, Arduino C++, Linux, Git, Postman

Engineered Systems & Projects

Kavach

completed

AI-powered voice authentication and physical smart access system.

People frequently forget physical keys, while traditional contact biometrics require physical touch and specialized optical sensors. We asked: What if human voice could securely become the key?

ResemblyzerVoskWebRTC VADPythonFlask REST APIReactMongoDBJWT AuthRaspberry Pi 4Arduino UnoL298N Motor Driver
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NanoTrade

completed

Real-time paper trading platform with custom matching engine.

Most trading demos are simple database dashboards that fail to simulate realistic order-book mechanics, execution latency, queue matching, and portfolio state reconciliation.

C++ Matching EnginePythonFastAPIRedisCelerySupabase / PostgreSQLWebSocketsTypeScript
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SkillGap AI

completed

Semantic embedding and RAG engine for resume and job description fit analysis.

A résumé and a job description can superficially look like a match while still concealing critical capability gaps, leading to poor hiring signals and unfocused career preparation.

PythonFastAPIRAG & Vector EmbeddingsCeleryRedisReactSupabaseTypeScript
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MovieSentiment

completed

Production-oriented ML discovery platform with automated MLOps & EKS deployment.

Machine learning models often remain trapped in Jupyter notebooks without robust CI/CD, containerized packaging, automated retraining, and scalable Kubernetes orchestration.

PythonPyTorch / Scikit-learnMLflowDVCDockerKubernetesAmazon EKSGitHub ActionsPrometheusGrafana
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Bike Demand Prediction ML System

completed

Production ML demand forecasting application developed at TS Bridge.

Urban mobility fleets experience extreme utilization volatility due to weather, seasonal shifts, and commuting patterns, requiring precise predictive demand modeling to prevent asset shortages.

XGBoostScikit-learnPythonFlask REST APIDVCMLflowDockerAWS EC2AWS S3CI/CDPower BI
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Large-Scale Data Preprocessing & EDA

completed

Data wrangling and feature engineering pipeline on 50,000+ records at CourseVita.

Raw real-world datasets arrive laden with missing values, inconsistent encodings, extreme outliers, and duplicate records that degrade downstream modeling.

PythonPandasNumPyData PreprocessingMissing Value ImputationExploratory Data AnalysisMatplotlib / Seaborn
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Vehicle Insurance ML Pipeline

completed

End-to-end predictive classification pipeline with modular MLOps architecture.

Assessing vehicle insurance claim propensities requires handling severe class imbalances, multi-modal features, and repeatable retraining pipelines.

PythonScikit-learnPandasFlaskDocker
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Industrial Sensor Fault Detection

completed

Anomaly detection system for industrial sensor telemetries.

Industrial machinery sensor drifts and electrical spikes often go undetected until catastrophic mechanical failure occurs.

PythonNumPyTime-Series Signal AnalysisIoT Protocols
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Verifiable Evidence & Records
Pursuing Bachelor of Technology (B.Tech) in Electrical Engineering at Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar (2023 – 2027, CGPA: 7.44).
official · 2023 – 2027
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TS Bridge Data Analytics & ML Intern (June – July 2025): Developed end-to-end bike demand prediction ML application with XGBoost, achieving 91% accuracy (MAE < 35), DVC/MLflow versioning, Docker on AWS EC2/S3, and Power BI dashboards for 5+ stakeholders.
official · June 2025 – July 2025
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CourseVita Data Science Intern (June – July 2024): Executed data preprocessing, missing-value imputation, duplicate removal, and exploratory data analysis across 50,000+ records to produce production-ready datasets.
official · June 2024 – July 2024
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Winner — ImaGenAI Innovation Challenge at IIT Delhi Techfest 2024.
official · 2024
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3rd Place — What If Ideation Competition at IIT Ropar Techfest 2024.
official · 2024
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President, SEED Society at NIT Jalandhar (2025 – Present): Leading a 30+ member cross-functional team across technical workshops, engineering hackathons, and institutional outreach.
official · 2025 – Present
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Co-Head, Institution's Innovation Council (IIC) at NIT Jalandhar (2025 – Present): Organizing entrepreneurship summits, startup awareness drives, and student ideation challenges.
official · 2025 – Present
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Academic Excellence: Outstanding Event Management (Utkansh 2026, NIT Jalandhar), Class XII (90%), Class X (98.4%, District Topper & School Topper).
official · Verified Record
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Kavach: Built an end-to-end voice authentication AI physical lock system combining Resemblyzer, Vosk, WebRTC VAD, Flask, React, MongoDB, Raspberry Pi, Arduino, and motor actuators in a 5-person team.
github · 2024
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SkillGap AI: Engineered an NLP semantic embedding & RAG engine analyzing resume vs job description fit and generating targeted learning roadmaps.
github · 2025
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NanoTrade: Developed an event-driven real-time paper trading engine pairing a custom C++ matching engine with FastAPI, Redis queues, and WebSockets.
github · 2025
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MovieSentiment: Engineered an automated MLOps discovery platform with MLflow, DVC, Docker, GitHub Actions CI/CD, Amazon EKS deployment, and Prometheus monitoring.
github · 2025
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Pradrix: Early-stage AI consulting and workflow automation company founded to diagnose business bottlenecks and implement purposeful, measurable AI workflows.
official · 2026 – Present
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